Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training
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Title
Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training
Authors
Keywords
Mobile application, Deep learning, Adversarial training, Cardiac ejection fraction, Image segmentation, Echocardiography
Journal
International Journal of Computer Assisted Radiology and Surgery
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-03
DOI
10.1007/s11548-019-01954-w
References
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Related references
Note: Only part of the references are listed.- Acquiring and maintaining point-of-care ultrasound (POCUS) competence for anesthesiologists
- (2018) T. Jared McCormick et al. Canadian Journal of Anesthesia-Journal canadien d anesthesie
- Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
- (2018) Ozan Oktay et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Cardiac Point-of-Care Ultrasound: State-of-the-Art in Medical School Education
- (2018) Amer M. Johri et al. JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY
- Fully Automated Echocardiogram Interpretation in Clinical Practice
- (2018) Jeffrey Zhang et al. CIRCULATION
- Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View
- (2017) Amir H. Abdi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance
- (2017) Tuan Anh Ngo et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Perioperative Ultrasound Training in Anesthesiology
- (2016) Feroze Mahmood et al. ANESTHESIA AND ANALGESIA
- Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
- (2016) Florin C. Ghesu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
- (2016) M.R. Avendi et al. MEDICAL IMAGE ANALYSIS
- Critical Care Basic Ultrasound Learning Goals for American Anesthesiology Critical Care Trainees
- (2015) R. Eliot Fagley et al. ANESTHESIA AND ANALGESIA
- Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging
- (2015) Roberto M. Lang et al. European Heart Journal-Cardiovascular Imaging
- Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks
- (2015) Hao Chen et al. IEEE Journal of Biomedical and Health Informatics
- Assessment of Left Ventricular Size and Function during Cardiac Surgery. An Intraoperative Evaluation of Six Two-Dimensional Echocardiographic Methods with Real Time Three-Dimensional Echocardiography as a Reference
- (2013) Manuel Grossgasteiger et al. ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES
- Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data
- (2013) G. Carneiro et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods
- (2011) G. Carneiro et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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